Site Reliability Engineer Technical Lead

Accountabilities

• • Drive the operational excellence, reliability, scalability, and performance of critical production systems.
  • Apply Site Reliability Engineering principles to enterprise-level systems and continuously identify opportunities to improve resilience and availability.
  • Lead technical aspects of incident response, troubleshooting complex production issues and developing sustainable solutions to prevent recurrence.
  • Design and implement automation that eliminates repetitive manual work, reduces operational toil, and improves engineering efficiency.
  • Develop and maintain internal tools and automated workflows that support scalable, reliable, and self-healing infrastructure.
  • Work across cloud environments such as AWS, GCP, and Azure, as well as microservices and containerized platforms including Kubernetes.
  • Build, maintain, and optimize observability capabilities covering monitoring, alerting, logging, and distributed tracing.
  • Use platforms and tools such as Dynatrace, Splunk, ELK Stack, or comparable technologies to analyze system behavior and identify potential issues proactively.
  • Analyze operational metrics and system performance data to guide performance tuning, capacity planning, and reliability improvements.
  • Identify opportunities to strengthen system architecture, automation, monitoring, and operational processes.
  • Collaborate effectively with engineering teams and senior stakeholders to communicate technical risks, recommendations, and solutions.
  • Provide technical leadership and influence reliability practices without relying primarily on project-management responsibilities.

  Requirements:

  • 8+ years of IT experience, including significant experience in a senior-level SRE, infrastructure engineering, systems engineering, or closely related role.
  • Deep understanding and hands-on application of SRE principles within enterprise-scale environments.
  • Strong experience with cloud platforms such as AWS, Google Cloud Platform (GCP), and/or Microsoft Azure.
  • Solid expertise with microservices architectures and container orchestration technologies, particularly Kubernetes.
  • Demonstrated ability to write production-quality code, particularly with Python or comparable programming languages.
  • Proven experience designing and implementing automation to reduce manual operational work and create scalable, resilient, and self-healing systems.
  • Experience building and maintaining internal tooling that improves infrastructure and operational processes.
  • Strong expertise in observability, including monitoring, alerting, logging, and distributed tracing.
  • Experience with technologies such as Dynatrace, Splunk, ELK Stack, or similar observability platforms.
  • Strong analytical skills and the ability to interpret system metrics to proactively identify reliability and performance issues.
  • Experience using operational data to support performance optimization and capacity planning.
  • Excellent troubleshooting and problem-solving abilities in complex production environments.
  • Exceptional communication, leadership, and interpersonal skills, with the ability to influence technical and non-technical stakeholders.
  • Ability to collaborate effectively with senior leadership and communicate complex technical concepts clearly.
  • Comfortable working independently in a fully remote environment while taking ownership of mission-critical technical challenges.
  • Work authorization: U.S. Citizens, Green Card holders, EAD holders, and candidates with H-1B transfer eligibility are encouraged to apply. New H-1B sponsorship is not available for this position.

  Benefits:

  • Fully remote position within the United States.
  • Full-time, direct W-2 employment.
  • Competitive annual salary range of $100,000–$150,000, depending on qualifications and experience.
  • Opportunity to work on mission-critical enterprise systems and advanced cloud technologies.
  • Significant technical ownership and influence over reliability, automation, and operational engineering practices.
  • Opportunity to collaborate with experienced technical teams and senior stakeholders.
  • Career growth potential within a technology-focused environment.
  • Hands-on exposure to cloud platforms, Kubernetes, automation, observability, and modern SRE practices.